Question: How do I use solver to find the decision variables and the constraints in the model section? 3 Data 10 11 12 13 14 15

How do I use solver to find the decision variables and the constraints in the model section?How do I use solver to find the decision variables and theconstraints in the model section? 3 Data 10 11 12 13 14

3 Data 10 11 12 13 14 15 16 17 18 Model 19 20 21 2.2 23 24 25 25 27 29 30 Math Formulation 31 33 34 35 36 Permanent Employees 11 Part Time Coverage Hour Minimum Staff Required Minimum Requirements 5 -6 9-10 12 1 10-11 15 4 11-noon 12 noon-1 11 1-2 18 2-3 17 3-4 19 4-5 14 Shift Number of PT employees 1 2 0 3 3 4 0 5 5 6 9 Total 24 Decision Variables: Objectives: 1 0 7 6 8 3 Total part-time Hour employees Excess 8-9 7 13 9-10 7 6 10-11 10 6 11-noon 10 9 noon-1 8 8 1-2 17 10 2-3 14 8 3-4 14 6 4-5 9 6 Part time workers that start on the 4 hour shift (X1-6). X1 + X2 X3 X4 + X5 + X6 Minimize X1 => 6 X1 + X2 => 1 X1 + X2 + x3 => 4 X1 + X2 + X3 + X4 => 1 31 33 35 36 37 39 40 41 42 43 Data 44 45 Variables 46 47 Objective 48 Objective 49 Objective 50 Objective 51 Objective 52 Objective 53 Objective 54 Objective 55 Objective 56 57 Model 59 Decision Variables 60 61 62 Objective 63 Objective 64 Objective 65 Objective 66 Objective 67 Objective 68 Objective 69 Objective Decision Variables: Objectives: X1 1 1 1 1 1 0 0 X1 Part time workers that start on the 4 hour shift (X1-6). X1 + X2 + X3 + X4 + X5 + X6 Minimize X1 => -6 X1 + X2 => 1 X1 + X2 X3 => 4 X1 + X2 + X3 + X4 => 1 X2 X3 X4 X5 => 0 X3 X4 X5 X6 => 7 X4+ X5+ X 26 X5 + X6 => 6 8 X6 => 3 X5 1 0 0 0 0 1 1 1 1 0 X5 X2 1 0 1 1 1 1 0 0 0 0 X2 X3 1 0 0 1 1 1 1 0 0 0 X3 X4 1 0 D 0 1 1 1 1 0 X4 D X6 1 0 0 0 0 0 1 1 1 X6 Limitation -6 1 4 1 0 7 6 8 3 Constraint 0 0 0 0 0 0 0 0 Limitation Slack -6 6 1 -1 4 -4 1 -1 0 0 7 -7 6 -6 8 -6 3 Data 10 11 12 13 14 15 16 17 18 Model 19 20 21 2.2 23 24 25 25 27 29 30 Math Formulation 31 33 34 35 36 Permanent Employees 11 Part Time Coverage Hour Minimum Staff Required Minimum Requirements 5 -6 9-10 12 1 10-11 15 4 11-noon 12 noon-1 11 1-2 18 2-3 17 3-4 19 4-5 14 Shift Number of PT employees 1 2 0 3 3 4 0 5 5 6 9 Total 24 Decision Variables: Objectives: 1 0 7 6 8 3 Total part-time Hour employees Excess 8-9 7 13 9-10 7 6 10-11 10 6 11-noon 10 9 noon-1 8 8 1-2 17 10 2-3 14 8 3-4 14 6 4-5 9 6 Part time workers that start on the 4 hour shift (X1-6). X1 + X2 X3 X4 + X5 + X6 Minimize X1 => 6 X1 + X2 => 1 X1 + X2 + x3 => 4 X1 + X2 + X3 + X4 => 1 31 33 35 36 37 39 40 41 42 43 Data 44 45 Variables 46 47 Objective 48 Objective 49 Objective 50 Objective 51 Objective 52 Objective 53 Objective 54 Objective 55 Objective 56 57 Model 59 Decision Variables 60 61 62 Objective 63 Objective 64 Objective 65 Objective 66 Objective 67 Objective 68 Objective 69 Objective Decision Variables: Objectives: X1 1 1 1 1 1 0 0 X1 Part time workers that start on the 4 hour shift (X1-6). X1 + X2 + X3 + X4 + X5 + X6 Minimize X1 => -6 X1 + X2 => 1 X1 + X2 X3 => 4 X1 + X2 + X3 + X4 => 1 X2 X3 X4 X5 => 0 X3 X4 X5 X6 => 7 X4+ X5+ X 26 X5 + X6 => 6 8 X6 => 3 X5 1 0 0 0 0 1 1 1 1 0 X5 X2 1 0 1 1 1 1 0 0 0 0 X2 X3 1 0 0 1 1 1 1 0 0 0 X3 X4 1 0 D 0 1 1 1 1 0 X4 D X6 1 0 0 0 0 0 1 1 1 X6 Limitation -6 1 4 1 0 7 6 8 3 Constraint 0 0 0 0 0 0 0 0 Limitation Slack -6 6 1 -1 4 -4 1 -1 0 0 7 -7 6 -6 8 -6

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